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TinyBERT_General_4L_312D-finetuned-qqp
jim12345/TinyBERT_General_4L_312D-finetuned-qqp
TinyBERT_General_4L_312D-finetuned-qqp is a text classification model from jim12345. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Mar 17, 2025
- SHA
- 5a04f1d0
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
TinyBERT_General_4L_312D-finetuned-qqp
This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on an unspecified qqp dataset. It achieves the following results on the evaluation set:
- Loss: 0.3278
- Accuracy: 0.8771
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3224 | 1.0 | 22741 | 0.3264 | 0.8579 |
| 0.2975 | 2.0 | 45482 | 0.3017 | 0.8669 |
| 0.26 | 3.0 | 68223 | 0.3069 | 0.8743 |
| 0.2359 | 4.0 | 90964 | 0.3197 | 0.8739 |
| 0.2231 | 5.0 | 113705 | 0.3278 | 0.8771 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 27, 2025
- Updated
- Mar 17, 2025